Sudomotor function as a tool for cardiorespiratory fitness level evaluation: comparison with maximal exercise capacity

Anu Raisanen, Jyrki Eklund, Jean-Henri Calvet, Jaakko Tuomilehto, Anu Raisanen, Jyrki Eklund, Jean-Henri Calvet, Jaakko Tuomilehto

Abstract

Physical inactivity is a modifiable risk factor for cardiovascular (CV) and metabolic disorders. VO2max is the best method to assess cardio-respiratory fitness level but it is poorly adopted in clinical practice. Sudomotor dysfunction may develop early in metabolic diseases. This study aimed at comparing established CV risk evaluation techniques with SUDOSCAN; a quick and non-invasive method to assess sudomotor function. A questionnaire was filled-in; physical examination and VO2max estimation using a maximal test on a bicycle ergometer were performed on active Finish workers. Hand and foot electrochemical skin conductance (ESC) were measured to assess sudomotor function. Subjects with the lowest fitness level were involved in a 12 month training program with recording of their weekly physical activity and a final fitness level evaluation. Significant differences in BMI; waist and body fat were seen according to SUDOSCAN risk score classification. Correlation between the risk score and estimated VO2max was r = -0.57, p < 0.0001 for women and -0.48, p < 0.0001 for men. A significant increase in estimated VO2max, in hand and foot ESC and in risk score was observed after lifestyle intervention and was more important in subjects with the highest weekly activity. SUDOSCAN could be used to assess cardio-metabolic disease risk status in a working population and to follow individual lifestyle interventions.

Figures

Figure 1
Figure 1
General Presentation of the SUDOSCAN Device with Hand and Foot Electrodes.
Figure 2
Figure 2
Correlation between SUDOSCAN risk score based on sudomotor dysfunction and estimated VO2max in women (n = 537).

References

    1. Eriksson J., Lindström J., Tuomilehto J. Potential for the prevention of type 2 diabetes. Br. Med. Bull. 2001;60:183–199. doi: 10.1093/bmb/60.1.183.
    1. Gillies C.L., Abrams K.R., Lambert P.C., Cooper N.J., Sutton A.J., Hsu R.T., Khunti K. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. Br. Med. J. 2007;334:299–308. doi: 10.1136/bmj.39063.689375.55.
    1. Dunn A.L. The effectiveness of lifestyle physical activity interventions to reduce cardiovascular disease. Am. J. Lifestyle Med. 2009;3:11S–18S. doi: 10.1177/1559827609336067.
    1. Colberg S.R., Sigal R.J., Fernhall B., Regensteiner J.G., Blissmer B.J., Rubin R.R., Chasan-Taber L., Albright A.L., Braun B., American College of Sports Medicine. American Diabetes Association Exercise and type 2 diabetes: the American College of Sports Medicine and the American Diabetes Association: joint position statement. Diabetes Care. 2010;33:147–167. doi: 10.2337/dc10-9990.
    1. Wilmore J.H., Costill D.L., Kenney W.L. Cardiovascular and respiratory function. In: Wilmore J.H., Costill D.L., editors. Physiology of Sport and Exercise. 4th ed. Human Kinetics; Champaign, IL, USA: 2008. pp. 121–184.
    1. Grandinetti A., Chow D.C., Sletten D.M., Oyama J.K., Theriault A.G., Schatz I.J., Low P.A. Impaired glucose tolerance is associated with postganglionic sudomotor impairment. Clin. Auton. Res. 2007;17:231–233. doi: 10.1007/s10286-007-0426-z.
    1. Low V.A., Sandroni P., Fealey R.D., Low P.A. Detection of small-fiber neuropathy by sudomotor testing. Muscle Nerve. 2006;34:57–61. doi: 10.1002/mus.20551.
    1. Smith A.G., Russell J., Feldman E.L., Goldstein J., Peltier A., Smith S., Hamwi J., Pollari D., Bixby B., Howard J., Singleton J.R. Lifestyle intervention for pre-diabetic neuropathy. Diabetes Care. 2006;29:1294–1299. doi: 10.2337/dc06-0224.
    1. Provitera V., Nolano M., Caporaso G., Stancanelli A., Santoro L., Kennedy W.R. Evaluation of sudomotor function in diabetes using the dynamic sweat test. Neurology. 2010;74:50–56. doi: 10.1212/WNL.0b013e3181c7da4b.
    1. Casellini C.M., Parson H.K., Richardson M.S., Nevoret M.L., Vinik A.I. Sudoscan, a noninvasive tool for detecting diabetic small fiber neuropathy and autonomic dysfunction. Diabetes Technol. Ther. 2013;15:948–953. doi: 10.1089/dia.2013.0129.
    1. Ramachandran A., Moses A., Shetty S., Thirupurasundari C.J., Seeli A.C., Snehalatha C., Singvi S., Deslypere J.P. A new non-invasive technology to screen for dysglycemia including diabetes. Diab. Res. Clin. Pract. 2010;88:302–306. doi: 10.1016/j.diabres.2010.01.023.
    1. Powers S., Howley E. Exercise Physiology — Theory and Application to Fitness and Performance. 7th ed. Mc Graw-Hill; New York, NY, USA: 2008.
    1. Chizmadzhev Y.A., Indenbom A.V., Kuzmin P.L., Galichenko S.V., Weaver J.C., Potts R.O. Electrical Properties of Skin at Moderate Voltages: Contribution of Appendageal Macropores. Biophys. J. 1998;74:843–856. doi: 10.1016/S0006-3495(98)74008-1.
    1. Hollander M., Wolfe D.A. Nonparametric Statistical Methods. 2nd ed. John Wiley & Sons; New York, NY, USA: 1999.
    1. Bland J.M., Altman D.G. Statistical methods for assessing agreement between two methods of clinical measurements. Lancet. 1986;1:307–310. doi: 10.1016/S0140-6736(86)90837-8.
    1. Tuomilehto J., Schwarz P., Lindström J. Long-term benefits from lifestyle interventions for type 2 diabetes prevention — Time to expand the efforts. Diabetes Care. 2011;34(Suppl. 2):S210–S214. doi: 10.2337/dc11-s222.
    1. Sumner C.J., Sheth S., Griffin J.W., Cornblath D.R., Polydefkis M. The spectrum of neuropathy in diabetes and impaired glucose tolerance. Neurology. 2003;60:108–111. doi: 10.1212/WNL.60.1.108.
    1. Singleton J.R., Smith A.G., Bomberg M.R. Increased prevalence of impaired glucose tolerance in patients with painful sensory neuropathy. Diabetes Care. 2001;24:1448–1453. doi: 10.2337/diacare.24.8.1448.
    1. Schwarz P., Brunswick P., Calvet JH. EZSCAN a new tool to detect diabetes risk. Br. J. Diabetes Vasc. Dis. 2011;11:204–209. doi: 10.1177/1474651411402629.
    1. Hubert D., Brunswick P., Calvet J.H., Dusser D., Fajac I. Abnormal electrochemical skin conductance in cystic fibrosis. J. Cyst. Fibrosis. 2011;10:15–20. doi: 10.1016/j.jcf.2010.09.002.
    1. Ayoub H., Lair V., Griveau S., Brunswick P., Bedioui F., Cassir M. SUDOSCAN devicefor the early detection of diabetes: in vitro measurements versus results of clinical tests. Sensor Lett. J. 2011;9:2147–2149. doi: 10.1166/sl.2011.1756.
    1. Ayoub H., Lair V., Griveau S., Brunswick P., Zagal J.H., Bedioui F., Cassir M. Electrochemical kinetics of anodic Ni dissolution in aqueous media as a function of chloride ion concentration at pH values close to physiological conditions. Electroanalysis. 2012;24:386–391. doi: 10.1002/elan.201100571.

Source: PubMed

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